Demand response scheduling of copper production under short-term electricity price uncertainty

被引:4
|
作者
Germscheid, Sonja H. M. [1 ,2 ]
Roeben, Fritz T. C. [1 ,2 ]
Sun, Han [1 ,2 ]
Bardow, Andre [1 ,3 ,5 ]
Mitsos, Alexander [1 ,3 ,4 ]
Dahmen, Manuel [1 ]
机构
[1] Forschungszentrum Julich, Inst Energy & Climate Res, Energy Syst Engn IEK 10, D-52425 Julich, Germany
[2] Rhein Westfal TH Aachen, D-52062 Aachen, Germany
[3] JARA ENERGY, D-52425 Julich, Germany
[4] Rhein Westfal TH Aachen, Proc Syst Engn AVTSVT, D-52074 Aachen, Germany
[5] Swiss Fed Inst Technol, Energy & Proc Syst Engn, CH-8092 Zurich, Switzerland
关键词
Stochastic programming; Scheduling optimization; Resource-task network; Price uncertainty; Copper production; SCENARIO REDUCTION; STOCHASTIC OPTIMIZATION; LINEAR-PROGRAMS; ENERGY; RISK; PROCUREMENT; GENERATION; MARKET; MODEL;
D O I
10.1016/j.compchemeng.2023.108394
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Marketing demand response of industrial processes on electricity spot markets can reduce operational cost. We apply our simultaneous day-ahead and intraday electricity market participation approach (Germscheid et al., AIChE J. 2022;68:e17828) to analyze the demand response potential of power-intensive copper production with our previously derived resource-task network model (Roben et al., J. CLEAN. PROD. 2022;362:132221). Specifically, we tackle intraday price uncertainty by stochastic scheduling optimization considering both risk-neutral and risk-averse market participation. Risk-averse participation allows for 1.9% weekly savings compared to only participating on the day-ahead market. Risk-neutral participation allows for 6.4% savings, but is connected to higher financial risks on weekends. Moreover, we show that load-shifting capabilities significantly depend on modeling on/off decisions either as first or second-stage integer decisions and that sequential day-ahead and intraday scheduling allows to participate in both markets while balancing financial risk, expected cost, and computational complexity compared to stochastic scheduling.
引用
收藏
页数:10
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